Senior Solutions Architect, AI Infrastructure

NVIDIA

Solutions Architect driving AI infrastructure deployment at NVIDIA. Collaborating with customers to implement GPU and networking solutions in data centers.

Posted 6/27/2026full-timeSanta Clara • California, Texas • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Tech Stack

Tools & technologies

DockerKubernetesLinux

About the role

Key responsibilities & impact

Working with NVIDIA AI Native and Consumer Internet customers on large data center GPU server and networking system deployments as Solution Architect Engineer.
Guide customer discussions on network design, compute/storage and support bring up of server/network/cluster deployments.
You will need to visit customer data center during bring up phase.
Demonstrate subject matter expertise in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers.
Bring customer-specific requirements to product teams to guide product roadmap features.
Identify new project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications.
Work closely with the GPU/Network Systems Engineering, Product management and Sales teams
Work as customer trusted advisor conducting regular technical customer meetings for product roadmap, cluster issues debug, feature discussions and introduction to new technology solutions
Build custom product demonstrations and POCs for solutions that address critical business needs of our customers
Analyze and debug compute/network configuration, performance issues to deliver performant clusters

Requirements

What you’ll need

BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
8+ years of Systems/Solution Engineering (or similar Engineering roles) experience
System level expertise of CPU/GPU server architecture, NICs, Linux, system software and kernel drivers
Experience with networking switches for Ethernet/Infiniband, and Data Center infrastructure (power/cooling)
Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes
Effective time management and capable of balancing multiple tasks
Strong verbal/written communication skills and share your ideas/code clearly through documents, presentation etc

Benefits

Comp & perks

equity
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Hard Skills & Tools

GPU ArchitectureCPU ArchitectureSystem SoftwareKernel DriversNetworking SwitchesEthernetInfinibandLinuxDevOpsMLOps

Soft Skills

Effective Time ManagementStrong Verbal CommunicationStrong Written CommunicationTechnical AdvisoryCustomer Engagement

Certifications

BS in Electrical EngineeringMS in Computer EngineeringPhD in Physics